从单词的角度看可表示单词的图表

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Acta Informatica Pub Date : 2024-08-10 DOI:10.1007/s00236-024-00462-y
Pamela Fleischmann, Lukas Haschke, Tim Löck, Dirk Nowotka
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引用次数: 0

摘要

词可表示图是 Kitaev 和 Pyatkin 于 2008 年在半群理论的背景下提出的。如果存在一个以图的节点为字母的单词,且单词中的字母交替出现在图中,则该图被称为单词可表示图。迄今为止,研究图的单词可表示性的著作不胜枚举,但大多是从图的角度进行研究的。在这项工作中,我们将视角转向单词,即从单词的类别出发,研究其所代表的图。我们首先关注的是单词的共轭词:如果旋转单词,我们就能准确地确定哪些图被表示出来。之后,我们研究了 Day 等人(FSTTCS LIPIcs, 2017)引入的 k 本地单词,以深入了解这类单词。在这里,我们特别研究了哪些图是由 1 本地词表示的。最后,我们证明所有表示图的词的语言都是有规律的。我们还能够表征 k 可表示图,解决了一个未决问题。
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Word-representable graphs from a word’s perspective

Word-representable graphs were introduced in 2008 by Kitaev and Pyatkin in the context of semigroup theory. Graphs are called word-representable if there exists a word with the graph’s nodes as letters such that the letters in the word alternate iff there is an edge between them in the graph. Until today numerous works investigated the word-representability of graphs but mostly from the graph perspective. In this work, we change the perspective to the words, i.e., we take classes of words and investigate the represented graphs. Our first subject of interest are the conjugates of words: we determine exactly which graphs are represented if we rotate the word. Afterwards, we look at k-local words introduced by Day et al. (FSTTCS LIPIcs, 2017) in order to gain more insights into this class of words. Here, we investigate especially which graphs are represented by 1-local words. Lastly, we prove that the language of all words representing a graph is regular. We were also able to characterise k-representable graphs, solving an open problem.

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来源期刊
Acta Informatica
Acta Informatica 工程技术-计算机:信息系统
CiteScore
2.40
自引率
16.70%
发文量
24
审稿时长
>12 weeks
期刊介绍: Acta Informatica provides international dissemination of articles on formal methods for the design and analysis of programs, computing systems and information structures, as well as related fields of Theoretical Computer Science such as Automata Theory, Logic in Computer Science, and Algorithmics. Topics of interest include: • semantics of programming languages • models and modeling languages for concurrent, distributed, reactive and mobile systems • models and modeling languages for timed, hybrid and probabilistic systems • specification, program analysis and verification • model checking and theorem proving • modal, temporal, first- and higher-order logics, and their variants • constraint logic, SAT/SMT-solving techniques • theoretical aspects of databases, semi-structured data and finite model theory • theoretical aspects of artificial intelligence, knowledge representation, description logic • automata theory, formal languages, term and graph rewriting • game-based models, synthesis • type theory, typed calculi • algebraic, coalgebraic and categorical methods • formal aspects of performance, dependability and reliability analysis • foundations of information and network security • parallel, distributed and randomized algorithms • design and analysis of algorithms • foundations of network and communication protocols.
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